Introduction.In a research library, researchers are the main players, while . librarians should be the partners in conducting research even though this combination rarely happens. In general, librarians are only involved in a part of research activities as their research assistants to carry out some administrative stuffs, such as distributing questionnaires and sending invitation letters, instead of designing a research plan and/or somequestionnaires or doing data analyses.Data Collection Method. We interviewed librarians in the Center for Political Studies, Research Center for Economic, Center for Science and Technology Development, and Center for Scientific Documentation and Information of Indonesian Institute of Sciences, Jakarta.Data Analyses. Data were analyzed using qualitative analysis methods, through the direct interview, where data categorized by using open coding.Results and Discussions.The results stated that 86.7% of respondents had ever been involved in research activities carried out by the research center in the same or different units. From that result, 53.3% respondents ever engaged research activities up to 5 times in a year. In the other hands, librarians who answer conduct independent research and are often involved in the research are 13% respondents. Some recommendations figured out from this research are (1) a librarian could be a plagiarism examiner for a research proposal, (2) a librarian must be literated in information technologies, (3) a librarian should be involved in examining a literature review of the proposal and writing the manuscripts.Conclusions.The role of a librarian is not just as a research assistant or a data collector but as a research buddy who could help addressing some documentative problems.
High quality data and data quality assessment which efficiently needed to data standardization in the research data repository. Three attributes most used i.e: completeness, accuracy, and timeliness are dimensions to data quality assessment. The purposes of the research are to increase knowledge and discuss in depth of research done. To support the research, we are using traditional review method on the Scopus database to identify relevant research. The literature review is limited for the type of documents i.e: articles, books, proceedings, and reviews. The result of document searching is filtered using some keywords i.e: data quality, data quality assessment, data quality dimensions, quality assessment, data accuracy, dan data completeness. The document that found be analyzed based on relevant research. Then, these documents compare to find out different of concept and method which used in the data quality metric. The result of analysis could be used as a recommendation to implement in the data quality assessment in the National Scientific Repository. ABSTRAKData berkualitas tinggi dan penilaian kualitas data yang efektif dibutuhkan untuk standaridasi data dalam repositori data penelitian. Tiga atribut yang paling banyak digunakan, yaitu kelengkapan, akurasi, dan ketepatan waktu. Tiga atribut tersebut merupakan beberapa dimensi untuk penilaian kualitas data. Penelitian ini bertujuan untuk meningkatkan pengetahuan dan membahas secara mendalam terhadap penelitian yang akan dilakukan. Untuk menunjang penelitian, kami menggunakan metode tinjauan pustaka secara tradisional pada database Scopus dan beberapa website terkemuka untuk mengidentifikasi penelitian yang relevan. Studi pustaka dibatasi pada jenis dokumen, yaitu artikel, buku, prosiding, dan tinjauan. Hasil pencarian dokumen disaring menggunakan beberapa kata kunci, yaitu data quality, data quality assessment, data quality dimensions, quality assessment, data accuracy, dan data completeness. Dokumen yang telah diperoleh selanjutnya dianalisis berdasarkan penelitian yang relevan. Selanjutnya, data dianalisis dan dibandingkan untuk mengetahui perbedaan konsep dan metode yang digunakan dalam mengukur kualitas data. Hasil analisis digunakan sebagai rekomendasi untuk diterapkan dalam menilai kualitas data pada sistem Repositori Ilmiah Nasional.
This study aims to analyse the implementation of RDM at PDDI-LIPI and to assess its staff’s understanding about RDM services. This article also discusses the challenges and obstacles PDDI faces in providing RDM services. The data was collected via an online survey from 28 July to 7 August 2020. The survey consisted of 35 questions and was shared with 36 respondents via social media. The results identified categories such as research data management services, data management planning services, data archiving services, funding, and staff competency and training needs. In addition, this article also discusses the approach and assessment of RDM services, challenges in providing RDM services, and plans for further developing RDM services at PDDI-LIPI. The results showed that the PDDI staff's understanding of RDM services is adequate. As a new service, the implementation of RDM at PDDI-LIPI continues to develop toward optimisation. RIN is a platform used by PDDI to support this goal. The three biggest obstacles faced by PDDI-LIPI in developing RDM services are limited human resources, competence and budget. Various trainings related to RDM, both sending staff off campus and inviting trainers to campus, were carried out by PDDI to overcome these obstacles. It is recommended to conduct further research on the mapping and upskilling of staff in charge of RDM services.
Scientific data repository has a main role in science because data can be reused, reproduced, and preserved in a long time. In Indonesia there is no institution that manage scientific data repository, generally they only manage publication such as books, journals and proceedings. This is because, most of research data is still managed by a researcher or research group. By using literature study and survey to the journal publisher, authors want to get an information on how to manage research data by publications. Furthermore, the result of literature study is compared to the survey result that produces an important point i.e journal publisher strongly agree to make a policy to the author to attach research data in every paper submitted. Most of journal publisher use Open Journal System (OJS) in managing journal articles, start from paper acceptance until paper publishing. Through this way, research data that attached will be automatically stored to the scientific data repository system based on Application Programming Interface (API). ABSTRAK Repositori data ilmiah memiliki peran penting dalam ilmu pengetahuan, karena data dapat digunakan kembali (reuse), direproduksi (reproduce), dan menjamin ketersediaan jangka panjang. Di Indonesia belum ada lembaga yang mengelola repositori data ilmiah, umumnya hanya mengelola publikasi dalam bentuk buku, jurnal, dan prosiding. Hal ini dikarenakan sebagian besar data penelitian masih dikelola oleh peneliti atau kelompok penelitian. Melalui studi pustaka dan survei kepada pengelola jurnal, penulis ingin memperoleh informasi bagaimana mengelola data penelitian melalui publikasi. Selanjutnya, analisis terhadap studi literatur dibandingkan dengan hasil survei yang menghasilkan poin penting diantaranya: pengelola jurnal sangat setuju untuk membuat kebijakan kepada penulis agar melampirkan data penelitiannya dalam setiap naskah yang dikirimkan. Sebagian besar penerbit jurnal menggunakan Open Journal System (OJS) dalam mengelola artikel jurnal, mulai penerimaan hingga artikel diterbitkan. Melalui mekanisme ini, data penelitian yang dilampirkan dalam setiap naskah akan tersimpan secara otomatis ke sistem repositori data ilmiah berbasis Application Programming Interface (API).
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